HK
Heykuki News
Top
New
Best
Ask
Show
Jobs
Toggle theme
Top
New
Best
Ask
Show
Jobs
Request
1.
▲
Dust.tt: Large Language Model Orchestration
dust.tt
discuss
3 years ago
Ozzie_osman
2 points
2.
▲
Dust.tt: Design and Deploy Large Language Model Apps
dust.tt
discuss
3 years ago
tikkun
1 points
3.
▲
Dev LLM stack, production LLM stack, example projects, & things you'll discover
2 comments
3 years ago
tikkun
10 points
4.
▲
Show HN: Uminal – Large language model anyone can extend with new apps/skills
uminal.com
2 comments
4 years ago
subtech
3 points
5.
▲
Ask HN: What is the best tool for building LLM pipelines?
1 comment
4 years ago
ScottStevenson
1 points
6.
▲
Ask HN: Making videos related to GPT-3, what would you like to see
discuss
3 years ago
tikkun
1 points
7.
▲
Building AI agents to query your databases
blog.dust.tt
54 comments
a year ago
vortex_ape
187 points
8.
▲
Dust XP1 switches to GPT-3.5-turbo, is now free to use
dust.tt
50 comments
3 years ago
ukuina
99 points
9.
▲
Show HN: XP1 – A GPT-based Assistant with access to the browser Tabs
xp1.dust.tt
9 comments
4 years ago
spolu
48 points
10.
▲
An Engineer's Day at Dust
dust.tt
discuss
2 months ago
ilnmtlbnm
4 points
11.
▲
Speculative sampling: LLMs writing a lot faster using smaller LLMs
blog.dust.tt
discuss
3 years ago
spolu
4 points
12.
▲
Infrastructure behind Dust deep-dive agent
blog.dust.tt
discuss
8 months ago
spolu
3 points
13.
▲
MCP and the emerging enterprise AI OS layer
blog.dust.tt
1 comment
a year ago
vortex_ape
2 points
14.
▲
Show HN: Wedding thank you notes auto-drafted with Dust and GPT3
dust.tt
1 comment
4 years ago
spolu
2 points
15.
▲
Dust raises $40M Series B to scale multiplayer AI for human-agent collaboration
dust.tt
discuss
a month ago
doppp
2 points
16.
▲
Hive: Engineering at the Speed of AI
dust.tt
discuss
5 months ago
spolu
2 points
17.
▲
How Dust taught AI agents to navigate company data like a filesystem
blog.dust.tt
discuss
a year ago
k7vin
2 points
18.
▲
MCP and the emerging enterprise AI OS layer
blog.dust.tt
discuss
a year ago
spolu
2 points
19.
▲
Dust converging on sandboxes and general-purpose agents
dust.tt
discuss
2 months ago
ashumz
1 points
20.
▲
Build vs. Run
dust.tt
discuss
5 months ago
spolu
1 points
21.
▲
Zero-sumness: a framework to reason about how to scale teams post AI
dust.tt
discuss
5 months ago
rafaepta
1 points
22.
▲
How AI Agents Gather Data
blog.dust.tt
discuss
a year ago
k7vin
1 points
23.
▲
A fair comparison of modern models' reasoning capabilities
blog.dust.tt
discuss
2 years ago
spolu
1 points